Speaker
Dr
Vishnu Balakrishnan
(Max Planck Institute for Radio Astronomy, Bonn)
Description
The discovery of new radio pulsars has significant implications for both Gravitational and Condensed Matter Physics. With the emergence of large datasets on the order of petabytes requiring quasi-real-time analysis, computational methods, particularly machine learning, have been increasingly important. This session will begin with a review of the progress made in applying machine learning techniques to radio pulsar searches over the last decade. Following this, we will delve into the most recent advancements and the challenges that lie ahead. The aim is to foster a robust dialogue and establish collaborations between researchers in computer science and astronomy, working toward the next frontier in radio pulsar discovery.
